{"title":"Extracting tasks in design process records","authors":"Katsuaki Tanaka, K. Hori","doi":"10.1109/JCSSE.2011.5930150","DOIUrl":null,"url":null,"abstract":"We extracted design process as series tasks for objects from design process records. First, we tried to extract topics and its transitions from documents. The system divided documents into smaller text fragments and grouped these into clusters. We regarded a cluster as a topic. The system iterated clustering as topic extraction at certain intervals based on created times of documents and generated a graph of topics and its transitions. Then the system chose clusters that related to focused object and searched co-occurring words with the object from text fragments. It represented clusters labeled with these words and its transition.","PeriodicalId":287775,"journal":{"name":"2011 Eighth International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":" 6","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Eighth International Joint Conference on Computer Science and Software Engineering (JCSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JCSSE.2011.5930150","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We extracted design process as series tasks for objects from design process records. First, we tried to extract topics and its transitions from documents. The system divided documents into smaller text fragments and grouped these into clusters. We regarded a cluster as a topic. The system iterated clustering as topic extraction at certain intervals based on created times of documents and generated a graph of topics and its transitions. Then the system chose clusters that related to focused object and searched co-occurring words with the object from text fragments. It represented clusters labeled with these words and its transition.
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